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Macroeconomics Partial Differential Equation Models In Downloaded from rsta.royalsocietypublishing.org on October 7, 2014 Partial differential equation models in macroeconomics Yves Achdou, Francisco J. Buera, Jean-Michel Lasry, Pierre-Louis Lions and Benjamin Moll Phil. Trans. R. Soc. A 2014 372, 20130397, published 6 October 2014 References This article cites 51 articles, 8 of which can be accessed free http://rsta.royalsocietypublishing.org/content/372/2028/201303 97.full.html#ref-list-1 Article cited in: http://rsta.royalsocietypublishing.org/content/372/2028/20130397.full. html#related-urls Subject collections Articles on similar topics can be found in the following collections applied mathematics (148 articles) Receive free email alerts when new articles cite this article - sign up Email alerting service in the box at the top right-hand corner of the article or click here To subscribe to Phil. Trans. R. Soc. A go to: http://rsta.royalsocietypublishing.org/subscriptions Downloaded from rsta.royalsocietypublishing.org on October 7, 2014 Partial differential equation models in macroeconomics Yves Achdou1,FranciscoJ.Buera2, Jean-Michel Lasry3, Pierre-Louis Lions4 and Benjamin Moll5 rsta.royalsocietypublishing.org 1Université Paris Diderot, Sorbonne Paris Cité, Laboratoire Jacques-Louis Lions, Paris, France 2Federal Reserve Bank of Chicago, Chicago, IL 60604, USA 3Department of Mathematics, University Dauphine, 75017 Paris, Review France 4Collège de France, 75005 Paris France Cite this article: Achdou Y, Buera FJ, Lasry 5 J-M, Lions P-L, Moll B. 2014 Partial differential Department of Economics, Princeton University, Princeton, NJ equation models in macroeconomics. Phil. 08544, USA Trans. R. Soc. A 372: 20130397. http://dx.doi.org/10.1098/rsta.2013.0397 The purpose of this article is to get mathematicians interested in studying a number of partial differential equations (PDEs) that naturally arise One contribution of 13 to a Theme Issue in macroeconomics. These PDEs come from models ‘Partial differential equation models designed to study some of the most important in the socio-economic sciences’. questions in economics. At the same time, they are highly interesting for mathematicians because their structure is often quite difficult. We present a number of examples of such PDEs, discuss what is known Subject Areas: about their properties, and list some open questions applied mathematics for future research. Keywords: heterogeneous agents, mean field games, 1. Introduction income and wealth distribution, firm size Macroeconomics is the study of large economic systems. distribution Most commonly, this system is the economy of a country. But, it may also be a more complex system such as the world as a whole, comprising a large Author for correspondence: number of interacting smaller geographical regions. Benjamin Moll Macroeconomics is concerned with some of the most e-mail: [email protected] important questions in economics, for example: what causes recessions and what should be done about them? Why are some countries so much poorer than others? Traditionally, macroeconomic theory has focused on studying systems of difference equations or ordinary differential equations describing the evolution of a relatively small number of macroeconomic aggregates. These systems are typically derived from the optimal control problem of a ‘representative agent’. In the past 30 years, however, macroeconomics has seen the development of theories that explicitly model the 2014 The Author(s) Published by the Royal Society. All rights reserved. Downloaded from rsta.royalsocietypublishing.org on October 7, 2014 equilibrium interaction of heterogeneous agents, e.g. heterogeneous consumers, workers and 2 firms (see, in particular, the early contributions of Bewley [1], Aiyagari [2], Huggett [3]and rsta.royalsocietypublishing.org Hopenhayn [4]). ......................................................... The development of these theories opens up the study of a number of important questions: why are income and wealth so unequally distributed? How is inequality affected by aggregate economic conditions? Is there a trade-off between inequality and economic growth? What are the forces that lead to the concentration of economic activity in a few very large firms? And why do instabilities in the financial sector seem to matter so much for the macroeconomy? Heterogeneous agent models are usually set in discrete time. While they are workhorses of modern macroeconomics, relatively little is known about their theoretical properties and they often prove difficult to compute. To make progress, some recent papers have therefore studied continuous time versions of such models. Our paper reviews this literature. Macroeconomic Phil.Trans.R.Soc.A models with heterogeneous agents share a common mathematical structure which, in continuous time, can be summarized by a system of coupled nonlinear partial differential equations (PDEs): (i) a Hamilton–Jacobi–Bellman (HJB) equation describing the optimal control problem of a single atomistic individual and (ii) an equation describing the evolution of the distribution of a vector of individual state variables in the population (such as a Fokker–Planck equation, Fisher–KPP equation or Boltzmann equation).1 While plenty is known about the properties of each type of 372 equation individually, our understanding of the coupled system is much more limited. Lasry & : 20130397 Lions [5–7] and Lions [8] have termed such a system a ‘mean field game’ and obtained some theoretical characterizations for special cases, but many open questions remain. For useful reference on mean field games, one can see for example Bardi [9], Guéant [10], Guéant et al. [11], Gomes et al. [12] and Cardaliaguet [13]. The purpose of this article is to present important examples of these systems of PDEs that arise naturally in macroeconomics, to discuss what is known about their properties, and to highlight some directions for future research. In §2, we present a model describing an economy consisting of a continuum of heterogeneous individuals that face income shocks and can trade a risk-free bond that is in zero net supply. This is the simplest model to illustrate the basic structure of heterogeneous agent frameworks used in macroeconomics, and it is the building block of many models studying the interaction between macroeconomic aggregates and the distribution of income and wealth. In §3, we review PDEs that have been used to describe the distribution of the many economic variables that obey power laws, for example, city and firm size, wealth and executive compensation. One building block of all of these models is the Fokker–Planck equation for a geometric Brownian motion. This equation is then combined with a model of exit and entry, for instance taking the form of a variational inequality of the obstacle type, derived from an optimal stopping time problem. In §4, we present a class of models describing processes of economic growth owing to experimentation and knowledge diffusion, or alternatively the percolation of information in financial markets. These models generate richer, more non-local dynamics, that give rise to Fisher–KPP- or Boltzmann-type equations. In §5, we introduce a class of models that is substantially more complicated than those in the preceding sections: models with ‘aggregate shocks’ designed to study business cycle fluctuations. These theories have the property that macroeconomic aggregates, including the distribution of individual states, are stochastic variables rather than just varying deterministically as in the models studied thus far. This creates the difficulty that the distribution—an infinite- dimensional object—has to be included in the state space of the individual optimal control problem. The resulting optimal control problem is no longer a standard HJB equation but instead an ‘HJB equation in the space of density functions’, a very challenging object mathematically. We present the most canonical version of such a theory: the model in §2 but now with aggregate income shocks. But, in principle, any of the theories in the preceding sections could be enriched 1Heterogeneous agent models used in macroeconomics typically make the assumption that individuals have identical preferences (even though they are heterogeneous in other dimensions). It is for this reason that only two equations are sufficient for summarizing such economies. Models with heterogeneous preferences can be considered but they involve more equations. Downloaded from rsta.royalsocietypublishing.org on October 7, 2014 by introducing such aggregate shocks. Finally, in §6, we note that also models with a finite 3 number of agents, rather than a continuum as in the preceding sections, are of interest in certain rsta.royalsocietypublishing.org macroeconomic applications. We present a model of firm dynamics in an oligopolistic industry ......................................................... which takes the form of a differential game. Space limitations have forced us to leave out other important areas of macroeconomics and economics more broadly where PDEs, and continuous time methods in general, have played an important role in recent years. A good example is the large literature studying the design of optimal dynamic contracts and policies. See for example the recent work by Sannikov [14], Williams [15] and Farhi & Werning [16]. Another area is given by models of the labour market. See for example the recent contribution by Alvarez & Shimer [17] and the review by Lentz & Mortensen [18]. Finally, throughout this paper, we
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